Senior Software Engineer – Python Backend & Manufacturing Systems

Diamond Foundry•Bay Area, California, CA

3d•$150,000 - $175,000•Onsite

About The Position

Diamond Foundry Inc. is seeking an experienced, communicative Senior Software Engineer to own the data pipelines, internal systems, and APIs that support real-time manufacturing and R&D operations. The role requires production-grade Python expertise and end-to-end project ownership, working directly with material engineers, technicians, and hardware engineers to turn operational challenges into production software. The position is on-site five days per week at either the South San Francisco or Fremont, California office. The role is eligible for company shares. The stated salary range is $150,000–$175,000 per year; compensation may vary based on duties, experience, and location, and higher-level candidates may be considered with adjusted salary.

Requirements

At least 4 years of software engineering experience, with production Python as the primary language.
Proven end-to-end project ownership, including the ability to define roadmaps, write specifications, and execute code independently.
Full-lifecycle Python backend expertise across REST APIs, event and data pipelines, and automation scripts.
Strong interpersonal and communication skills, including the ability to conduct discovery with scientists, technicians, and operations teams.
Strong querying skills and understanding of schema design fundamentals.

Nice To Haves

Experience with industrial protocols such as MQTT, Modbus, OPC-UA, or PLCs.
Experience in manufacturing, hardware-in-the-loop, or physical R&D environments.
Hands-on experience with FastAPI, Flask, or asynchronous processing.
Experience scoping technical requirements directly from physical shop-floor workflows.

Responsibilities

Own technical initiatives from inception to delivery by translating operational needs into technical roadmaps, architectural specifications, and deployable code.
Architect and scale end-to-end Python backends, including high-throughput event pipelines, internal REST APIs, and automated data processing tools.
Work directly with production technicians, metrology specialists, and R&D engineers to diagnose workflow bottlenecks and validate solutions on the production floor.
Optimize database performance and schema design for high-frequency telemetry, process metrics, and traceability data.
Partner with front-end engineers to define API contracts and data models for operator-facing user interfaces.